Author

Gaurav Mishra

Indraprastha Institute of Information Technology DelhiORCID 0000-0002-1468-5173Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Research Focus:protein structure prediction· 2 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Gajendra P. S. RaghavaiD· 2 shared Piyush AgrawaliD· 2 shared Akshara PandeiD· 1 shared Anjali DhalliD· 1 shared Anjali LathwaliD· 1 shared Chakit AroraiD· 1 shared Dilraj KauriD· 1 shared Harpreet KauriD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Gajendra P. S. RaghavaORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedOct 17, 2022

Computing wide range of protein/peptide features from their sequence and structure

Akshara Pande, Sumeet Patiyal, Anjali Lathwal…·Gajendra P. S. Raghava

The paper introduces a software package that computes over 50,000 features for protein/peptide function prediction, including residue-level annotations.

135 citationstop 1%

protein sequenceprotein structure

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BioinformaticsFrontiers in PharmacologyPeer-reviewedJan 29, 2020

SAMbinder: A web server for predicting SAM binding residues of a protein from its amino acid sequence

Piyush Agrawal, Gaurav Mishra, Gajendra P. S. Raghava

SAMbinder predicts SAM binding residues in proteins from amino acid sequences using machine learning, achieving MCC 0.61 and AUROC 0.89 on a realistic dataset.

15 citations

protein sequencemachine learning (classical)

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